Smart Bed Health Monitoring based on ECG and Body Temperature using LabVIEW and IoT
Siti Nor Zawani Ahmmad1, Abdul Zharfan Osman2, Noor Huda Ja’afar3, Ernie Mazuin Mohd Yusof4, Mohd Ismail Yusof5, Farkhana Muchtar6
1Siti Nor Zawani Ahmmad*, Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Masai, Johor, Malaysia.
2Abdul Zharfan Osman, Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Masai, Johor, Malaysia
3Noor Huda Ja’afar, Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Masai, Johor, Malaysia
4Ernie Mazuin Mohd Yusof, Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Masai, Johor, Malaysia.
5Mohd Ismail Yusof, Department of Instrumentation and Control Engineering, Universiti Kuala Lumpur Malaysian Institute of Industrial Technology (UniKL MITEC), Masai, Johor, Malaysia
6Farkhana Muchtar, School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia.
Manuscript received on November 15, 2019. | Revised Manuscript received on 20 November, 2019. | Manuscript published on December 10, 2019. | PP: 4631-4637 | Volume-9 Issue-2, December 2019. | Retrieval Number: B9047129219/2019©BEIESP | DOI: 10.35940/ijitee.B9047.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Heart disease remains as the major cause of death encompassed by Malaysians over the past ten years starting from 2005 until 2014. There are many factors that influenced this statistical measurement. One of the most influential factors is due to insufficient space for medical placement provided by the hospitals. The purpose of this study is to develop a smart bed health monitoring system based on electrocardiography (ECG) and body temperature sensors. Arduino IDE software was used for Internet of Things (IoT) and LabVIEW software for real time monitoring. Data can be seen through a website, which can help the doctors to monitor their patients’ data from a long distance. The result of the project was compared with existing monitoring devices used for heart rate (Hand Wrist Heart Monitoring and Galaxy Watch) and body temperature (Rossmax Monitoring TG380 Thermometer) which available in the market. These comparisons were conducted by several experiments to analyze its accuracy and reliability. The comparison of data between real time monitoring and IoT was analyzed to check for the effectiveness of data via internet. The result showed that the highest percentage of error for both parameters of heart rate and body temperature were less than 4.2%. This system able to interpret an individual’s level of healthiness such as bradycardia, tachycardia and fever which can be monitored in real time monitoring.
Keywords: Smart bed health monitoring, Electrocardiography (ECG), LabVIEW, Internet of Things (IoT).
Scope of the Article: IoT